Parameterized auxiliary selection

نویسنده

  • Janet H. Randall
چکیده

Auxiliary selection is paradoxical: categorical for some verb classes, indeterminate for others; inconsistent across languages; and misaligned with other diagnostics. After critiquing one solution to the paradox, the Auxiliary Selection Hierarchy (Sorace 2000), we propose an alternative: Parameterized Linking, which approaches the semantic underpinnings of the unaccusative/unergative distinction and the syntactic-semantic mapping in a parameterized way. Languages can differ either in the Conceptual Structure features on which their linking rules are built telicity, agentivity, locomotion or on the linking rules they choose, or both, leading to different intransitive mappings. Using sets of parameterized, interacting, but still deterministic linking rules, the model can allow two features to produce a single continuum of gradience, predicting a hierarchy in auxiliary selection both within and across languages.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Liveness with Incomprehensible Ranking

The methods of Invisible Invariants and Invisible Ranking were developed originally in order to verify temporal properties of parameterized systems in a fully automatic manner. These methods are based on an instantiate-projectand-generalize heuristic for the automatic generation of auxiliary constructs and a small model property implying that it is sufficient to check validity of a deductive ru...

متن کامل

Improving Semi-Supervised Learning with Auxiliary Deep Generative Models

Abstract Deep generative models based upon continuous variational distributions parameterized by deep networks give state-of-the-art performance. In this paper we propose a framework for extending the latent representation with extra auxiliary variables in order to make the variational distribution more expressive for semi-supervised learning. By utilizing the stochasticity of the auxiliary var...

متن کامل

Auxiliary Deep Generative Models

Deep generative models parameterized by neural networks have recently achieved state-ofthe-art performance in unsupervised and semisupervised learning. We extend deep generative models with auxiliary variables which improves the variational approximation. The auxiliary variables leave the generative model unchanged but make the variational distribution more expressive. Inspired by the structure...

متن کامل

Train Marshalling Is Fixed Parameter Tractable

The train marshalling problem is about reordering the cars of a train using as few auxiliary rails as possible. The problem is known to be NP-complete. We show that it is fixed parameter tractable (FPT) with the number of auxiliary rails as parameter.

متن کامل

Observability and Local Observer Construction for Unknown Parameters in Linearly and Nonlinearly Parameterized Systems

Using geometric concepts from observability theory for nonlinear systems, we propose an approach for parameter estimation for linearly and nonlinearly parameterized systems. The proposed approach relies on extending a parameter estimation problem to a state estimation problem by introducing the parameters as auxiliary state variables. Applying tools from geometric nonlinear control theory we es...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009